APPLIED AI & MACHINE LEARNING

Opportunity Identification and a Roadmap

for Low-Risk / High-Impact Projects

Classroom: One Day

Online: Two Half-Day Live Sessions

$995 USD

INFORMS Professional Development Units: 9

DESIGN FOR ACTIONABLE IMPLEMENTATION

This one-of-a-kind course focuses on the most chronic failings of the majority of AI project implementations: comprehensive project assessment, design and planning. The analytic professionals who apply the strategic principles in this course will obtain the rare analytic leadership skills toovercome their organization’s ongoing digital transformation challenges and stand out in this competitive practice.

This vendor-neutral course is designed to be taken independently, yet is part of a comprehensive course series that covers The Modeling Agency’s Modeling Practice Framework™ for low-risk, high-impact projects (see illustration). The scope of this course extends to the first two phases: Assess and Plan.

If you are looking for an intensive vendor-neutral strategic orientation to AI and machine learning that is critical to overall project and operational success, then this course is for you.

WHO SHOULD ATTEND

IT EXECUTIVES AND BIG DATA DIRECTORS: CIOs, CAOs, CTOs, Stakeholders, Functional Officers, Technical Directors and Project Managers who desire to establish a confident vision, strategic plan and realistic expectations for the development of a value-focused AI-driven operation to arrive at measurable, accountable and automated decisioning

Leave with resources, contacts and plans to substantially reduce your project preparation time, costs and risks

THE ORGANIZATIONAL CHALLENGE FOR ANALYTICS

Industry surveys underscore that most AI projects fail or fall short of their objectives. Project failure is almost never due to a predictive model’s inability to uncover new insights or find patterns in data. By investing more heavily in tool and algorithm training, most organizations are working on the wrong end of the problem. Instead of preparing a goal-driven plan and tailored project design, they are leading with a technology focus. Most of today’s data scientists are skilled with trees, but lost in the forest.

And it’s not the fault of today’s practitioners. Commercial and academic courseware maintain a focus on analytic methods, software and tactics. They focus on optimizing for technical metrics as opposed to goal-driven performance. Most analytic professionals launch directly into data and software before assessing strategic issues that cause otherwise valid models todieon the vine at implementation time.

Beyond lecture and demonstration, this course will actively lead you through structured and comprehensive analytic project design exercises that you can take home and apply. Those who stay for the full series will reference the completed design as the blueprints for full strategic implementation.

WHAT MAKES THIS COURSE UNIQUE

The developers of this course have been actively involved with the design, implementation and deployment of real-world AIand predictive modeling solutions in large organizations for decades. Their clients have been richly rewarded by identifying and prioritizing valid projects ahead of development and deriving real value from successful deployments.

There simply is no other vendor-neutral event in the marketplace that focuses exclusively on analytic project assessment, planning and design – let alone integrating seamlessly into an overarching series for end-to-end process implementation. The skills taught in this course are rare and highly valued in the market.

Note that this course does not drill into specific algorithms or tactical implementation topics. For coverage of AI and machine learning methods, algorithms and techniques, refer to the Development module which directly follows this event. To step through all phases of the Modeling Practice Framework™, view the Comprehensive Experience course description.

PREREQUISITES

Registrants will be required to view a three-hour asynchronous “Core Concepts” orientation prior to attending this event.Video blocks of instruction are segmented into consumable segments of just 10 to 15 minutes each. Prior education or experience in data analytics or statistics is helpful, but not required.

The Modeling Agency, LLC, is registered with INFORMS (the INstitute For Operations Research and the Management Sciences) as a Recognized Analytics Continuing Educational Provider for the CAP® (Certified Analytics Professional) program. The CAP® credential provides analytics professionals with a means to distinguish themselves and demonstrate to employers, colleagues, and the public that they are knowledgeable analytics professionals. Courses provided by The Modeling Agency, LLC, are automatically accepted by INFORMS when claimed by credential holders as evidence of continuing education. For more information about the CAP® program, including requirements, eligibility, benefits, preparation, and exam dates, please visit the INFORMS website at www.informs.org/certification.

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Determine whether TMA training is right for you, and learn why TMA is truly the best option for live classroom analytics training.

Attendee Comments

“A few months ago, I attended Prediction Impact’s data mining course. It provided a good orientation to predictive analytics. But I wanted to learn how to really apply data mining at the project level. TMA’s course series provided the comprehensive and pragmatic approach I was truly seeking that will allow me to dive confidently and properly into the practice.”

Ernest Ngwa
Aspiring Data Mining Practitioner
Lanham, MD

“When the only complaint is that the course could be longer, I think you’ve got an excellent class! I very much enjoyed the instructor’s use of a real data set to demonstrate principles taught throughout the entire class. The instructor went out of his way both before and during the class to help me to translate the class material to my own work.”

“The instructor’s presentation was quite thoughtful and very well organized. I came away with a solid map for the ever changing data mining landscape.”

David Cousins
Divisional Scientist
BBN Technologies

“Statisticians and Analysts alike can benefit from this Data Mining course. It is interesting to view the business objective from the other side of the coin. Exploratory Data Analysis in Data Mining is fun because the causality constraint of classical Statistics is relaxed. Take this course and open up to another way of dealing with large data sets.”

“If you want a thorough introduction to predictive analytics at the project level with a wealth of real world experience solving problems, then Tony’s your guy.”

Elies Koudier
Professor of Marketing
Ferris State University

“A great experience. I would recommend this course for anyone interested in Predictive Analytics.”

Maisam Salehi
Analyst, Customer Insights
Giant Food Stores

“This class, by far, is the most interesting, motivating and applicable class I have taken in a very long time. Tony provides a refreshingly different perspective on predictive modeling and approach methodology. Not only would I absolutely recommend this course to any colleague or anyone interested in the practical, yet powerful insights into predictive modeling, but I may look into additional learning and or professional services opportunities. I can’t wait to get back to work and jump right into applying the concepts and learnings.”

Anonymous

“The class was great! I was really impressed with the instructor’s knowledge, experience, and ability. He was able to answer everyone’s questions thoroughly and tailor the class to individual needs. I learned so much about the data mining process, the different methods, and available tools. I highly recommend this course to both technical and non-technical people interested in leading-edge data mining methodologies and the application of current data mining software to marketing, business, and research endeavors.”

Stephen Pearce
Preventive Medicine
Kaiser Permanente

“This course will fully help you understand what is really important for increasing performance from your data by introducing key concepts that are not taught in any business schools.”

“Attending The Modeling Agency’s series was a tremendously rewarding experience, helping me to ‘de-mystify data mining’ and interface with exceptionally intelligent people who live in the data mining world.”